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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2014/11/19 02:04:35 UTC
[jira] [Commented] (SPARK-4477) remove numpy from RDDSampler of
PySpark
[ https://issues.apache.org/jira/browse/SPARK-4477?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14217183#comment-14217183 ]
Apache Spark commented on SPARK-4477:
-------------------------------------
User 'davies' has created a pull request for this issue:
https://github.com/apache/spark/pull/3351
> remove numpy from RDDSampler of PySpark
> ---------------------------------------
>
> Key: SPARK-4477
> URL: https://issues.apache.org/jira/browse/SPARK-4477
> Project: Spark
> Issue Type: New Feature
> Components: PySpark
> Affects Versions: 0.8.1, 0.9.1, 1.0.2, 1.1.0, 1.2.0
> Reporter: Davies Liu
>
> In RDDSampler, it try use numpy to gain better performance for possion(), but the number of call of random() is only (1+faction) * N in the pure python implementation of possion(), so there is no much performance gain from numpy.
> numpy is not a dependent of pyspark, so it maybe introduce some problem, such as there is no numpy installed in slaves, but only installed master, as reported in xxxx.
> It also complicate the code a lot, so we may should remove numpy from RDDSampler.
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